11-24-2018, 02:55 PM
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Originally Posted by Figgie123
Very early on, but if my math is right, using the graphic someone posted for net offensive efficiency, UD is ranked 6th in the A10 in net offensive efficiency at 0.0780.
- Fordham (4-1) RPI 152 = 0.1723
- Rhode Island (2-1) RPI 157 = 0.1307
- Massachusetts (4-3) RPI 279 = 0.1249
- VCU (4-1) RPI 86 = 0.0941
- Saint Louis (4-1) RPI 70 = 0.0839
- Dayton (4-2) RPI 111 = 0.0780
- Saint Josephs (3-2) RPI 172 = 0.0618
- Davidson (4-1) RPI 61 = 0.0365
- Duquesne (3-1) RPI 33 = 0.0132
- Richmond (2-3) RPI 234 = 0.0023
- George Mason (2-4) RPI 266 = -0.0145
- Saint Bonaventure (1-5) RPI 348 (ugh!) = -0.0520
- La Salle (0-6) RPI 309 = -0.1775
- George Washington (0-5) RPI 265 = -0.2555
This is based on stats straight from NCAA.org this morning, and it includes non-Div1 games. For instance, Fordham beat CCNY in their first game, and those stats are included in the team totals that NCAA lists. I'd hope NCAA finds a way to get the non-Div 1 games out of there.
Figgie
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Tied for #2 with Davidson in offensive efficiency behind only St Joe's in kenpom. Please tell me the NCAA adjusts for competition. Kenpom not totally normalized yet (relies on assumptions until normalized). But I bet the issue is with the NCAA. The whole NET thing is an absolute fiasco. Zero transparency on how calculate the 5 factors, zero transparency on weighting of the 5 factors, and then they throw in "machine learning." We have over 100+ artificial intelligence (think machine learning but I am simplifying) engineers and how the NCAA constructs the algorithm, what data they use to learn, etc, etc, etc all matter massively. GuRanteee nobody on the committee has a clue.
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Last edited by ruechalgrin; 11-24-2018 at 02:58 PM..
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